Search Results for "claw-code" - Page 58
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Showing 2671 open source projects for "claw-code"
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Veeam Data Platform v13.1Try Veeam Data Platform today. Experience the unified platform that's secure by design, portable by default, and proven to recover clean, fast, and anywhere.
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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speedtest-cli
Command line interface for testing internet bandwidth using speedtest
Command line interface for testing internet bandwidth using speedtest.net. It is not a goal of this application to be a reliable latency reporting tool. Latency reported by this tool should not be relied on as a value indicative of ICMP style latency. It is a relative value used for determining the lowest latency server for performing the actual speed test against. Speedtest CLI brings the trusted technology and global server network behind Speedtest to the command line. Measure internet... -
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Couler
Unified Interface for Constructing and Managing Workflows
Couler is a system designed for unified machine learning workflow optimization in the cloud. Couler endeavors to provide a unified interface for constructing and optimizing workflows across various workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow. Couler enhances workflow efficiency through features like Autonomous Workflow Construction, Automatic Artifact Caching Mechanisms, Big Workflow Auto Parallelism Optimization, and Automatic Hyperparameters Tuning. -
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CapsGNN
A PyTorch implementation of "Capsule Graph Neural Network"
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019). The high-quality node embeddings learned from the Graph Neural Networks (GNNs) have been applied to a wide range of node-based applications and some of them have achieved state-of-the-art (SOTA) performance. However, when applying node embeddings learned from GNNs to generate graph embeddings, the scalar node representation may not suffice to preserve the node/graph properties efficiently, resulting in sub-optimal graph... -
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Zebrunner Community Edition
Test Automation Management Tool
Zebrunner CE (Community Edition) is a Test Automation Management Tool for continuous testing and continuous deployment. It allows you to run various kinds of tests and gain successive levels of confidence in the code quality. Zebrunner CE is integrated by default with Carina open-source TestNG framework and uses Jenkins as a CI Tool. It is built on top of popular docker solutions and includes Postgres database, Zebrunner Reporting, Jenkins Master/Slaves Nodes, Selenium Hub, Mobile Device Farm (MCloud), SonarQube, etc. All components are deployed under NGINX WebServer which can be configured in a fully secured environment. ... -
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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XLM (Cross-lingual Language Model)
PyTorch original implementation of Cross-lingual Language Model
...Using a shared subword vocabulary, XLM learns language-agnostic features that work well for classification and sequence labeling tasks such as XNLI, NER, and POS without target-language supervision. The repository provides preprocessing pipelines, training code, and fine-tuning scripts so you can reproduce benchmark results or adapt models to your own multilingual corpora. Pretrained checkpoints cover dozens of languages and multiple model sizes, balancing quality and compute needs. -
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DensePose
A real-time approach for mapping all human pixels of 2D RGB images
...This enables detailed understanding of human shape, motion, and surface appearance directly from images or videos. The repository includes the DensePose network architecture, training code, pretrained models, and dataset tools for annotation and visualization. DensePose is widely used in augmented reality, motion capture, virtual try-on, and visual effects applications because it enables real-time 3D human mapping from 2D inputs. The model architecture builds on Mask R-CNN, using additional regression heads to predict UV coordinates that map image pixels to 3D surfaces. -
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pyment
Format and convert Python docstrings and generates patches
Create, update or convert docstrings in existing Python files, managing several styles. This Python3 program intends to help Python programmers to enhance inside code documentation using docstrings. It is useful for code not well documented, or code without docstrings, or some not yet or partially documented code, or a mix of all of this. It can be helpful also to harmonize or change a project docstring style format. It will parse one or several python scripts and retrieve existing docstrings. ... -
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Keepsake
Version control for machine learning
Keepsake is a Python library that uploads files and metadata (like hyperparameters) to Amazon S3 or Google Cloud Storage. You can get the data back out using the command-line interface or a notebook. -
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BMC
Notes on Scientific Computing for Biomechanics
This repository is a collection of lecture notes and code on scientific computing and data analysis for Biomechanics and Motor Control. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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earthengine-py-notebooks
A collection of 360+ Jupyter Python notebook examples
...Many of the notebooks integrate with tools like folium, ipyleaflet, and geemap to bridge Earth Engine data with Python’s rich ecosystem for plotting and analysis. Users can quickly adapt the examples for their own remote sensing, environmental monitoring, or spatial data science projects, and can run the code in environments like Google Colab. -
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Semantic Segmentation in PyTorch
Semantic segmentation models, datasets & losses implemented in PyTorch
Semantic segmentation models, datasets and losses implemented in PyTorch. PyTorch and Torchvision needs to be installed before running the scripts, together with PIL and opencv for data-preprocessing and tqdm for showing the training progress. PyTorch v1.1 is supported (using the new supported tensoboard); can work with earlier versions, but instead of using tensoboard, use tensoboardX. Poly learning rate, where the learning rate is scaled down linearly from the starting value down to zero... -
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Mininet
Emulator for rapid prototyping of Software Defined Networks
...Mininet is actively developed and supported, and is released under a permissive BSD Open Source license. We encourage you to contribute code, bug reports/fixes, documentation, and anything else that can improve the system! Links are virtual ethernet pairs, which live in the Linux kernel and connect our emulated switches to emulated hosts (processes). -
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wifi-password
Quickly fetch your WiFi password and generate a QR code of your WiFi
Quickly fetch your WiFi password and if needed, generate a QR code of your WiFi to allow phones to easily connect. Works on macOS and Linux, Windows. -
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Tabnine
Vim client for TabNine
Tabnine is an AI-powered code completion extension trusted by millions of developers around the world. Whether you’re just getting started as a developer or if you’ve been doing it for decades, Tabnine will help you code twice as fast with half the keystrokes – all in your favorite IDE. Whether you call it IntelliSense, intelliCode, autocomplete, AI-assisted code completion, AI-powered code completion, AI copilot, AI code snippets, code suggestion, code prediction, code hinting, or content assist, you probably already know that it can save you tons of time, easily cutting your keystrokes in half. ... -
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Data Science Notes
Curated collection of data science learning materials
Data Science Notes is a large, curated collection of data science learning materials, with explanations, code snippets, and structured notes across the typical end-to-end workflow. It spans foundational math and statistics through data wrangling, visualization, machine learning, and practical project organization. The content emphasizes hands-on understanding by pairing narrative notes with runnable examples, making it useful for both self-study and classroom settings. -
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lxspider
Educational Python web scraping case collection for many sites
lxSpider is a collection of web scraping examples designed primarily for learning and experimentation with data extraction techniques. It gathers numerous crawler implementations that demonstrate how to collect data from a wide range of websites and online services. It focuses heavily on practical cases that illustrate how different platforms handle requests, authentication parameters, and anti-scraping protections. lxSpider includes examples targeting areas such as e-commerce platforms,... -
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cookiecutter-pypackage
audreyfeldroy's Cookiecutter template for a standard Python package
...Note that the version hosted on SourceForge is just a clone of the original repository used to test Cookiecutter's SVN feature. It is not recommended to use this version for actual work, as it will not be updated. HTTPS: cookiecutter svn+https://svn.code.sf.net/p/cookiecutter-pypackage/code/trunk/cookiecutter-pypackage SVN RO: cookiecutter svn://svn.code.sf.net/p/cookiecutter-pypackage/code/trunk/cookiecutter-pypackage SSH (requires SourceForge login): cookiecutter svn+ssh://username@svn.code.sf.net/p/cookiecutter-pypackage/code/trunk/cookiecutter-pypackage Original version: https://github.com/audreyfeldroy/cookiecutter-pypackage -
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BudgetML
Deploy a ML inference service on a budget in 10 lines of code
Deploy a ML inference service on a budget in less than 10 lines of code. BudgetML is perfect for practitioners who would like to quickly deploy their models to an endpoint, but not waste a lot of time, money, and effort trying to figure out how to do this end-to-end. We built BudgetML because it's hard to find a simple way to get a model in production fast and cheaply. Deploying from scratch involves learning too many different concepts like SSL certificate generation, Docker, REST, Uvicorn/Gunicorn, backend servers etc., that are simply not within the scope of a typical data scientist. ... -
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TA-Lib.git: Technical Analysis Library
Mirror of the TA-Lib project using a Git repository
This project is intended to provide Git access to the code of the original project, TA-Lib, which uses Subversion. It is intended for system integrators wishing to use TA-Lib in their Git-managed project through Git submodules or subtrees. No actual development is being done here; all development happens in the original project. -
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DCT
Diffraction Contrast Tomography analysis code
Diffraction contrast tomography code base, as developed by researchers from beamline ID19 of the ESRF, Grenoble, France, and Manchester University, UK. -
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wordle
Create a wordcloud for a Git repository
Create a wordcloud for a Git repository. Can also create wordclouds from directories of source files or a single source file. wordle uses tox to automate testing and packaging, and pre-commit to maintain code quality. Tests are run with tox and pytest. To run tests for a specific Python version, such as Python 3.6. The documentation is powered by Sphinx. A local copy of the documentation can be built with tox. Type annotations are checked using mypy. Run mypy using tox. -
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Hasklig
A code font with monospaced ligatures
...Composite glyphs are problematic in languages such as Haskell which utilize these complicated operators (=> -< >>= etc.) extensively. The readability of such complex code improves with pretty printing. Academic articles featuring Haskell code often use lhs2tex to achieve an appealing rendering, but it is of no use when programming. Hasklig solves the problem the way typographers have always solved ill-fitting characters which co-occur often, ligatures. The underlying code stays the same, only the representation changes. ... -
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Minecraft
Simple Minecraft-inspired program using Python and Pyglet
...The project implements a first-person block world where you can walk around, jump, fly, and place or remove blocks using a small set of block types like brick, grass, and sand. It provides full WASD movement with mouse look and basic building controls, giving a surprisingly complete “sandbox” feel in only a small amount of Python code. The author explicitly describes a vision for the project as an educational tool: because many kids love Minecraft and Python is a friendly first programming language, the codebase is meant to be readable, hackable, and heavily commented so learners can tweak parameters like gravity or walking speed and see the effects immediately. ... -
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Awesome AI-ML-DL
Awesome Artificial Intelligence, Machine Learning and Deep Learning
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics. This repo is dedicated to engineers, developers, data scientists and all other professions that take interest in AI, ML, DL and related sciences. To make learning interesting and to create a place to easily find all the necessary material. Please contribute, watch, star, fork and share the repo with others in your community. -
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sshtunnel
SSH tunnels to remote server
...The library opens SSH port-forwarding connections in the background, allowing local applications to reach remote or private services through a secure channel. It supports local and remote bind addresses, password authentication, private keys, and configuration through Python code. sshtunnel is especially useful for developers, administrators, and automation scripts that need controlled access to databases, internal dashboards, or protected network services. Its value comes from making SSH forwarding easier to manage inside Python workflows without relying only on manual command-line SSH syntax.
